docstr: :param request_data:
  :param time_sleep:
  :return:
docstr_tok: [":","param","request_data",":",":","param","time_sleep",":",":","return",":"]
code: def predict(self, request_data, timeout=5):
      """
      :param request_data:
      :param time_sleep:
      :return:
      """
  
      def json_to_ndarray_dict(json_str):
          ndarray_dict = {}
          data_dict = json.loads(json_str)["instances"][0]
          for key in data_dict.keys():
              ndarray_dict[key] = np.array(data_dict[key])
          return ndarray_dict
  
      if self.frontend_url:
          response = self.cli.post(
              self.frontend_url + "/predict", data=request_data
          )
          predictions = json.loads(response.text)["predictions"]
          processed = predictions[0].lstrip("{value=").rstrip("}")
      else:
          try:
              json.loads(request_data)
              input_dict = json_to_ndarray_dict(request_data)
          except Exception as e:
              if isinstance(request_data, dict):
                  input_dict = request_data
              else:
                  input_dict = {"t": request_data}
  
          uri = str(uuid.uuid4())
          self.enqueue(uri, **input_dict)
          processed = "[]"
          time_sleep = 0.001
          while time_sleep < timeout:
              processed = self.output_queue.query_and_delete(uri)
              if processed != "[]":
                  break
              time.sleep(time_sleep)
              time_sleep += 0.001
      return processed
  
imports: import redis
  import time
  from bigdl.serving.schema import *
  import httpx
  import json
  import uuid
  from bigdl.serving.log4Error import invalidInputError
label_desc: Use image node_id 2 for calling the InputQueue obj's underlying member method code with example usage: obj.predict(request_data, timeout) and returns: processed, ndarray_dict